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Ανάλυση Ριζικής Αιτίας με Ανθεκτικότητα×Ανάλυση Τρόπων Αστοχίας και Επιπτώσεων (FMEA)×
ΠεδίοΠειραματικός ΣχεδιασμόςΠειραματικός Σχεδιασμός
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1990s–2000s1949 (military); widespread industrial adoption 1970s–1980s
ΔημιουργόςSynthesised from RCA practice (Kepner-Tregoe, 1960s) and Taguchi robustness principles (1980s–1990s)U.S. Military / NASA (formalized by MIL-P-1629, 1949)
ΤύποςHybrid quality-engineering diagnostic methodProactive risk analysis technique
Θεμελιώδης πηγήAndersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
Εναλλακτικές ονομασίεςRobust RCA, Robustness-Integrated Root Cause Analysis, RRCAFMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Συναφείς66
ΣύνοψηRobust Root Cause Analysis (Robust RCA) integrates classical root cause investigation techniques — such as the 5-Whys, Ishikawa diagrams, and fault trees — with Taguchi's robustness thinking to identify not only the primary cause of a failure but also the noise factors and variability sources that allow the failure to occur repeatedly. The result is corrective actions that eliminate the root cause and make the system inherently insensitive to future variation.Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.
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ScholarGateΣύγκριση μεθόδων: Robust Root Cause Analysis · Failure Mode and Effects Analysis. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare